Temporal Models DY0-001 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is the primary purpose of survival analysis?

   • ATo establish causal relationships between variables
   • BTo model the time until an event of interest occurs
   • CTo forecast future values of a variable over time
   • DTo reduce the dimensionality of high-dimensional data
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A health agency observes that regions with higher sunscreen sales have lower skin cancer rates. They want to determine whether promoting sunscreen sales causes a reduction in skin cancer. They have access to a large observational dataset but cannot run a randomized trial. Which combination of approaches would provide the strongest evidence for a causal effect?

   • AFit a time series model to forecast skin cancer rates from sunscreen sales
   • BCompute the correlation between sunscreen sales and skin cancer rates
   • CConduct a survival analysis of skin cancer patients by sunscreen usage
   • DUse instrumental variable analysis with a variable that affects sunscreen sales but not skin cancer directly
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A data scientist is analyzing daily website traffic to forecast future page views. The data shows a clear weekly pattern (higher on weekdays, lower on weekends) and a gradual upward trend over the past year. The scientist wants to separate these components to better understand the underlying behavior. Which technique should be applied first?

   • AGranger causality test
   • BAutocorrelation function (ACF) analysis
   • CKaplan-Meier survival curve
   • DSeasonal decomposition of the time series
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   In which scenario would survival analysis be more appropriate than time series analysis?

   • AEstimating the probability that a patient survives five years after a cancer diagnosis
   • BDescribing the seasonal pattern of website traffic
   • CPredicting next month's sales based on historical sales data
   • DIdentifying the factors that cause a stock price to increase
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   An insurance company wants to analyze the time until policyholders file a claim after purchasing a policy. Some policyholders have not filed a claim by the end of the observation period. Which analysis is most appropriate to estimate the probability of filing a claim over time?

   • ALinear regression of time to claim on policyholder characteristics
   • BSurvival analysis using the Kaplan-Meier estimator
   • CTime series forecasting of claim counts per month
   • DCausal inference to determine what causes claims
   Reveal Solution Discussion Select an answer first